Decagon
Senior Software Engineer, Data Infrastructure
New York City · Senior · Full-time
Sponsorship not specified$200k-$400kDetected 53 days ago
BigQuerySnowflakeRedshiftDatabricksAWSGCPAzureKubernetesTerraformCI/CDPrometheusGrafanaDatadogKafkaRabbitMQMachine LearningSparkAirflowData EngineeringLLMsAgentic AIAI OrchestrationIncident ResponseResearch
About the role
- Core Infra: The foundational cloud stack-networking, compute, storage, security, and infrastructure‑as‑code-to ensure reliability, scale, and cost efficiency.
- Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
- Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.
Responsibilities
- We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
- GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
- Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.
- Participate in on‑call and drive down toil through automation and elimination of recurring data issues.
- 5+ years building and operating production data infrastructure at scale.
- We're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products.
- You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.
- Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.
- Own our analytical data layer - schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.
- Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.
Requirements
- Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.
Skills
- Proven track record meeting high availability and low latency targets across streaming and batch workloads.
- Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.
- Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)
- Familiarity with Spark or Dask for large‑scale data processing
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
- Experience being an early data/platform/infrastructure engineer at another company
- Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)
- Experience with customer‑managed deployments
- ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.
- Even better if you have
- $200K - $400K + Offers Equity
Compensation
- This range reflects the expected compensation for this role.
- Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
- In addition to base salary, we offer competitive equity.
- Final compensation may vary based on location within the United States.
Benefits
- We proudly offer the following benefits for our full-time employees:
- Take what you need vacation policy (subject to local requirements
- UK employees receive 25 days of statutory leave)
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Company info
- Our mission is to deliver magical support experiences - AI agents working alongside humans to resolve issues quickly and accurately.
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This listing is sourced directly from Decagon's careers page and normalized into a canonical job model.